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Qianqian Xie
Qianqian Xie
Yale University
Bestätigte E-Mail-Adresse bei yale.edu
Titel
Zitiert von
Zitiert von
Jahr
Factual consistency evaluation of summarisation in the Era of large language models
Z Luo, Q Xie, S Ananiadou
Expert Systems with Applications, 124456, 2024
173*2024
Pixiu: A large language model, instruction data and evaluation benchmark for finance
Q Xie, W Han, X Zhang, Y Lai, M Peng, A Lopez-Lira, J Huang
NeurIPS Dataset and Benchmark Track 2023, 2023
170*2023
Pre-trained language models in biomedical domain: A systematic survey
B Wang, Q Xie, J Pei, P Tiwari, Z Li
ACM computing survey, 2021
1692021
On the evaluations of chatgpt and emotion-enhanced prompting for mental health analysis
K Yang, S Ji, T Zhang, Q Xie, S Ananiadou
EMNLP 2023 4, 2023
165*2023
MentaLLaMA: interpretable mental health analysis on social media with large language models
K Yang, T Zhang, Z Kuang, Q Xie, J Huang, S Ananiadou
Proceedings of the ACM on Web Conference 2024, 4489-4500, 2024
992024
Pre-trained language models with domain knowledge for biomedical extractive summarization
Q Xie, JA Bishop, P Tiwari, S Ananiadou
Knowledge-Based Systems 252, 109460, 2022
952022
Incorporating word embeddings into topic modeling of short text
W Gao, M Peng, H Wang, Y Zhang, Q Xie, G Tian
Knowledge and Information Systems 61, 1123-1145, 2019
872019
Zero-shot temporal relation extraction with chatgpt
C Yuan, Q Xie, S Ananiadou
BioNLP@ACL 2023, 2023
712023
The wall street neophyte: A zero-shot analysis of chatgpt over multimodal stock movement prediction challenges
Q Xie, W Han, Y Lai, M Peng, J Huang
arXiv preprint arXiv:2304.05351, 2023
632023
The finben: An holistic financial benchmark for large language models
Q Xie, W Han, Z Chen, R Xiang, X Zhang, Y He, M Xiao, D Li, Y Dai, ...
NeurIPS Dataset and Benchmark Track 2024, 2024
492024
Neural sparse topical coding
M Peng, Q Xie, Y Zhang, H Wang, XJ Zhang, J Huang, G Tian
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
492018
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations
Q Chen, J Du, Y Hu, V Kuttichi Keloth, X Peng, K Raja, R Zhang, Z Lu, ...
arXiv e-prints, arXiv: 2305.16326, 2023
452023
Faithful AI in Medicine: A Systematic Review with Large Language Models and Beyond
Q Xie, EJ Schenck, HS Yang, Y Chen, Y Peng, F Wang
medRxiv, 2023.04. 18.23288752, 2023
42*2023
Graph neural collaborative topic model for citation recommendation
Q Xie, Y Zhu, J Huang, P Du, JY Nie
ACM Transactions on Information Systems (TOIS) 40 (3), 1-30, 2021
412021
Bayesian sparse topical coding
M Peng, Q Xie, H Wang, Y Zhang, G Tian
IEEE Transactions on Knowledge and Data Engineering 31 (6), 1080-1093, 2018
412018
Readability Controllable Biomedical Document Summarization
Z Luo, Q Xie, S Ananiadou
Findings of the Association for Computational Linguistics: EMNLP 2022, 4667–4680, 2022
402022
Overview of the biolaysumm 2024 shared task on the lay summarization of biomedical research articles
T Goldsack, C Scarton, M Shardlow, C Lin
arXiv preprint arXiv:2408.08566, 2024
392024
Inductive topic variational graph auto-encoder for text classification
Q Xie, J Huang, P Du, M Peng, JY Nie
proceedings of the 2021 conference of the North American chapter of the …, 2021
392021
Graph topic neural network for document representation
Q Xie, J Huang, P Du, M Peng, JY Nie
Proceedings of the Web Conference 2021, 3055-3065, 2021
392021
Generation of topic evolution graphs from short text streams
W Gao, M Peng, H Wang, Y Zhang, W Han, G Hu, Q Xie
Neurocomputing 383, 282-294, 2020
382020
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